Engineering Manager, Data Pipeline

About Reddit, Inc.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

About the Core Platform Organization

Reddit’s Core Platform organization builds the foundational software, frameworks, and infrastructure that power the rest of the company. Operating in a complex, multi-cloud environment spanning AWS, GCP, and Kubernetes, this group ensures our systems scale with the demands of Reddit’s rapidly growing user base and evolving business.

The Opportunity

We’re looking for an Engineering Manager, Data Pipeline to lead our Data Pipeline team, which owns the infrastructure responsible for generating, ingesting, and processing petabytes of data—over 250 billion events per day—used across Reddit by teams like Ads, Machine Learning, and Data Science. This is a high-impact, technically complex role where your leadership will drive reliability, scalability, and innovation in one of Reddit’s most critical data systems. You’ll partner closely with teams across the company and work at the center of Reddit’s real-time and batch data ecosystem. Experience managing high-performing engineering teams and building distributed systems at web scale is key to success in this role.

What You'll Do

• Lead the design and long-term evolution of Reddit’s Data Pipeline to support ongoing scale and growth.
• Drive high-impact, high-leverage projects that align with Reddit’s broader engineering and business goals.
• Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence.
• Establish and champion best practices for data production, consumption, and governance across the company.
• Ensure the pipeline remains highly reliable and low latency, even at massive scale.
• Collaborate closely with engineering teams across Reddit—such as Ads, ML, and Consumer—to support their data needs.
• Extend data infrastructure capabilities across multiple data centers and cloud environments.
• Continuously develop your own technical and leadership skills while helping others grow.

What We’re Looking For

• 2-4 years experience in people management of high performing engineering teams.
• 7+ years experience in large scale backend distributed systems.
• Strong focus on scalability, performance, and quality. You are an undying advocate for the user, and you have a deep intuition for how critical data infra systems work at scale.
• High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org.
• Experience in Go, Kubernetes, Flink, Kafka, BigQuery is a huge plus.
• BS degree in Computer Science, similar technical field of study or equivalent practical experience.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Pay Transparency

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The Base Salary Range For This Position Is $217,000—$303,900 USD

Interview Process and Privacy

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Equal Opportunity Employer

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Key skills/competency

• Data Pipeline Management
• Distributed Systems
• Scalability Engineering
• Go Programming Language
• Kubernetes Orchestration
• Apache Flink
• Apache Kafka
• BigQuery
• Team Leadership
• Technical Strategy
• Data Governance